Matrix Multiplication
Matrix Multiplication is a computational operation in linear algebra that belongs to the class of binary operations on arrays, distinguished by its specific rule of computing each element of the resulting matrix as the dot product of corresponding rows and columns from two input matrices, and serves as a foundational method in GPU computing for accelerating high-throughput parallel computations.
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Matrix multiplication via arithmetic progressions
Don Coppersmith, S. Winograd · Journal of Symbolic Computation · 1990 · 2.3K citations
Song Han, Xingyu Liu, Huizi Mao et al. · ACM SIGARCH Computer Architecture News · 2016 · 2K citations
A set of level 3 basic linear algebra subprograms
Jack Dongarra, Jeremy Du Croz, Sven Hammarling et al. · ACM Transactions on Mathematical Software · 1990 · 1.8K citations · Full text
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University of California, Berkeley
Berkeley, United States
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196 publications
18.2K citations
Stanford University
Stanford, United States
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135 publications
39.7K citations
Carnegie Mellon University
Pittsburgh, United States
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115 publications
6.1K citations
University of Illinois Urbana-Champaign
Urbana, United States
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99 publications
8.7K citations
The University of Texas at Austin
Austin, United States
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107 publications
8.1K citations
University of Southern California
Los Angeles, United States
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97 publications
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The Ohio State University
Columbus, United States
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141 publications
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Georgia Institute of Technology
Atlanta, United States
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Repository · 122 publications · 6.7K citations
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TPDS · 58 publications · 3.4K citations
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TOMS · 43 publications · 6.6K citations
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